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Proceedings Paper

Mobile crowd-sensing for access point localization
Author(s): Alex Pereira da Silva; Sylvain Leirens
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Paper Abstract

Nowadays, sensors built-in smartphones enable the collection of a large-scale of data in such a way that several applications can take place in a crowd-sensing paradigm. An interesting application is the device localization, which takes advantage of pervasive Wi-Fi networks in indoor and outdoor environments. We propose a crowd- sensing approach to localize access points in a building based on the collection of received signal strength, step detection and heading changes measurements of free-moving pedestrian users handling smartphones. The localization method boils down to computing likely positions of access points and iteratively estimating and validating related propagation models.

Paper Details

Date Published: 27 April 2018
PDF: 10 pages
Proc. SPIE 10646, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII, 1064615 (27 April 2018); doi: 10.1117/12.2304597
Show Author Affiliations
Alex Pereira da Silva, CEA-LETI (France)
Sylvain Leirens, CEA-LETI (France)

Published in SPIE Proceedings Vol. 10646:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII
Ivan Kadar, Editor(s)

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